Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse
arXiv:2609.26836v1 Announce Type: new Abstract: Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research…
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
arXiv:2609.26780v2 Announce Type: replace-cross Abstract: Long-term conversational memory in multi-party settings requires more than retrieving relevant content from long-term conversations:…
Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning
arXiv:2609.27760v1 Announce Type: cross Abstract: Federated learning enables distributed training of a shared model without requiring clients to share their…
Hard Negatives Reveal What Easy Negatives Hide: Cross-Lingual Harmfulness Representations Degrade with Resource Tier Under Hard Negatives
arXiv:2609.27758v1 Announce Type: cross Abstract: Safety alignment in large language models is trained primarily in English, and recent work reports…
QuantWM: Temporally Consistent 2-Bit KV Cache Quantization for World Models and Video Generation
arXiv:2609.26425v2 Announce Type: replace-cross Abstract: KV cache memory has become a major deployment bottleneck for video generation and world models,…
Xeno-Interpretability: Investigating the Alien Minds of LLMs
arXiv:2609.20408v2 Announce Type: replace-cross Abstract: Large language models are usually interpreted through concepts that humans already possess: truthfulness, refusal, deception,…
Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models
arXiv:2609.22161v1 Announce Type: new Abstract: Medical large language models are commonly trained on mixtures of didactic data (e.g., textbooks) and…
GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
arXiv:2609.21562v2 Announce Type: replace-cross Abstract: Coding agents can modify and test code across large software projects. Game development is a…
InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection
arXiv:2609.24026v1 Announce Type: cross Abstract: In this paper, we investigate the limitations of fixed, hand-crafted connectors in hierarchical semantic representations…